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Walmart Stock Performance Analysis Dataset
Stock & Market Data
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About
A historical record of Walmart's stock prices, charting its performance from 1972 to 2025. As a leading multinational retail corporation, Walmart's stock is a significant indicator in the retail sector and is actively traded on major exchanges. This makes the dataset particularly valuable for financial analysis, investment research, and understanding market trends over a long period. The data is sourced from Yahoo Finance, providing key daily financial indicators for in-depth analysis of stock behaviour and volatility.
Columns
- Date: The specific trading day.
- Open: The stock price at the start of the trading session.
- High: The highest stock price reached during the trading day.
- Low: The lowest stock price reached during the trading session.
- Close: The final stock price at the market close.
- Volume: The total number of shares traded during the day.
- Dividends: Cash payments distributed to shareholders.
- Stock Splits: Records of stock split events.
Distribution
- Format: The data is provided in a single CSV file named
walmart_stock_prices.csv. - Size: The file size is approximately 1.57 MB.
- Structure: The dataset is structured with 8 columns and contains 13,233 total rows, with no missing values.
Usage
Ideal applications for this dataset include:
- Stock Market Analysis: Evaluating Walmart's stock price trends, volatility, and performance over time.
- Investment Research: Aiding traders and investors in making informed decisions by analysing historical data.
- Algorithmic Trading: Developing and back-testing trading strategies based on historical price movements and indicators.
- Educational Purposes: Serving as a practical, real-world dataset for teaching data science, time series analysis, and financial modelling.
Coverage
- Geographic Scope: While Walmart is a global company, the stock data reflects its trading on major stock exchanges, primarily in the US market context.
- Time Range: The dataset covers a long historical period, from 1972 to 2025.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To perform detailed technical analysis, study volatility, and identify long-term trends in a major retail stock.
- Investors and Traders: To inform investment strategies and decisions by examining historical performance.
- Data Scientists: To build predictive models, practice time series analysis, and create financial data visualisations.
- Students and Academics: As a real-world case study for projects and research in finance, economics, and data analytics.
Dataset Name Suggestions
- Walmart Historical Stock Prices (1972-2025)
- Daily Walmart Stock Market Data
- Walmart (WMT) Financial Time Series Data
- Walmart Stock Performance Analysis Dataset
Attributes
Original Data Source: Walmart Stock Performance Analysis Dataset
QUALITY